WO2013011728A1 - Communication assistance device, communication assistance method, and computer-readable recording medium - Google Patents

Abstract

A communication assistance device which takes into consideration relationships among users so as to be able to spread topics over a wide range, in order to stimulate communication among users, is provided with a communication content extraction unit (1) for extracting communication content from a communication history for each pair of an originating user and a receiving user, a topic similarity calculation unit (2) for calculating similarity between a topic recommendation which has been prepared beforehand and the communication content, and a user identification unit (3) for identifying a user to be recommended and a communication-partner user. The user identification unit (3) extracts a pair which treats communication content of similarity higher than a threshold as a communication history, treats each user of the extracted pair as a node, creates a network between the users which treats a link from the originating user toward the receiving user as an arc, and, for each originating user, follows the network between the users in order to identify the user to be recommended from the originating user.

Description

COMMUNICATION SUPPORT DEVICE, COMMUNICATION SUPPORT METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

The present invention relates to a communication support apparatus, a communication support method, and a computer-readable recording medium, and in particular, records a communication support apparatus, a communication support method, and a program that recommend topics to users in order to activate communication between users. The present invention relates to a computer-readable recording medium.

Conventionally, communication using various communication tools has been performed in a virtual space, such as sending out diary information on social networking sites and blogs, commenting on them, and e-mails. There is a communication support system that supports the construction of human relationships based on closeness of hobbies and preferences using a network between users created by such communication.

As such a communication support system, for example, in response to a request from a user, information to be recommended to the user is searched from an information source on the network, and the searched information can be exchanged with a partner who can exchange this information. Are associated with each other and notified to the user (for example, see Patent Document 1).

Japanese Patent No. 3928287

However, according to the communication support system described in Patent Document 1 above, the information notified to the user is in keyword units and is not a specific content. For this reason, there is a problem in that communication is not activated because the user does not know what kind of content should be spoken based on the displayed keyword.

On the other hand, it is conceivable that the communication support system selects a topic having specific contents according to a common keyword among users and presents it. However, in this case, since each user uses the same system, the topic of the same content is only provided to both, and no special topic is provided to either of them. For this reason, even if the communication support system provides a topic with specific contents, there still remains a problem that communication is not activated between users.

The present invention has been made to solve the above-mentioned problems, and its purpose is communication that can broaden a topic in a wide range and activate communication between users in consideration of the relationship between users. To provide a support device, a communication support method, and a computer-readable recording medium.

In order to achieve the above object, a communication support device according to one aspect of the present invention includes a communication content extracting unit that extracts communication content from a communication history for each pair of a calling user and a receiving user, and a recommendation target topic prepared in advance. A topic similarity calculation unit that calculates a similarity to the communication content, a recommendation target user that is a recommendation destination of the recommendation target topic, and a user specification unit that specifies a communication partner user of the recommendation target user The user specifying unit extracts the pair having the communication content with the similarity higher than a threshold as the communication history, and sets each user as a node from the extracted pair, and directs the user to the receiving user. Create a network between users with arc as a link and follow the network between users for each calling user Identifying the recommendation target user from the calling user, and identifies the recipient user is the relationship of the pair and identified the originating user as the communication partner user as the recommendation target user.

In order to achieve the above object, a communication support method according to one aspect of the present invention includes a communication content extraction step for extracting communication content from a communication history for each pair of a calling user and a receiving user, and a recommended object prepared in advance. A topic similarity calculating step for calculating a similarity between a topic and the communication content, a pair extracting step for extracting the pair with the communication content having the communication level higher than a threshold as the communication history, and the extracted pair A network creation step of creating a network between users with each user as a node and a link from the calling user to the receiving user as an arc, and tracing the network between the users for each calling user, from the calling user The recommendation user is specified, and the transmission user specified as the recommendation user is specified. Characterized in that it comprises a user identification step for identifying the received user the relationship of the pair as the communication partner user and.

Furthermore, in order to achieve the above object, a computer-readable recording medium according to one aspect of the present invention is a computer-readable recording medium that extracts a communication content from a communication history for each pair of a sending user and a receiving user, A topic similarity calculating step for calculating a similarity between a recommendation target topic prepared in advance and the communication content; and a pair extracting step for extracting the pair with the communication content having the similarity higher than a threshold as the communication history. A network creation step of creating an inter-user network in which each user of the extracted pair is a node and a link from the calling user to the receiving user is an arc, and the inter-user network is traced for each of the calling users Identifying the recommendation target user from the calling user, and the recommendation target user Characterized in that it records a program including instructions to execute a user identification step of identifying the received user the relationship of the pair with the originating user identified as the communication partner user Te.

As described above, according to the communication support device, the communication support method, and the computer-readable recording medium of the present invention, it is possible to spread a wide range of topics in consideration of the relationship between users and activate communication between users. can do.

It is a block diagram which shows the structure of the whole system containing the communication assistance apparatus in Embodiment 1 of this invention. It is a flowchart explaining the flow of the whole operation | movement of Embodiment 1 of this invention. It is a figure which shows the example of the communication history which the communication content extraction part shown in FIG. 1 acquires. It is a figure which shows the set of the keyword which the communication content extraction part shown in FIG. 1 extracted and weighted. It is a figure which shows the list of the recommendation object topic accumulate | stored in the recommendation object topic storage part shown in FIG. It is the figure which matched the similarity calculated by the topic similarity calculation part shown in FIG. 1, each topic, a transmission user, and a receiving user. It is a figure which shows the example of the network between users about the topic 1 shown in FIG. It is a figure which shows the network group produced from the network between users shown in FIG. It is a figure which shows matching with a topic, a recommendation object user, and a communication other party user matched by the user specific part. It is a block diagram which shows the structure of the whole system containing the communication assistance apparatus in Embodiment 2 of this invention. It is a flowchart explaining the flow of the whole operation | movement of Embodiment 2 of this invention. It is a figure which shows matching with a topic, a recommendation object user, and a communication other party user matched by the user specific part and the user re-specific part. It is a block diagram which shows the structure of the whole system containing the communication assistance apparatus in Embodiment 3 of this invention. It is a figure which shows the example of the topic browsing history accumulate | stored in the topic browsing history storage part shown in FIG. It is a figure which shows the example of the topic recommendation history accumulate | stored in the topic recommendation history storage part shown in FIG. It is a block diagram which shows the structure of the whole system containing the communication assistance apparatus in Embodiment 4 of this invention. It is a block diagram which shows the structure of the whole system containing the communication assistance apparatus in this Embodiment 5. It is a figure which shows the example of the pair data accumulate | stored in the pair data storage part shown in FIG. FIG. 10 is a block diagram illustrating an example of a computer that implements the communication support apparatus according to Embodiments 1 to 5 of the present invention.

(Embodiment 1)
[Device configuration]
Hereinafter, a communication support apparatus, a communication support method, and a communication support program according to Embodiment 1 of the present invention will be described with reference to FIGS.

First, the configuration of the communication support apparatus according to the first embodiment will be described with reference to FIG. FIG. 1 is a block diagram showing a configuration of the entire system including the communication support apparatus 100 according to the first embodiment.

As illustrated in FIG. 1, the communication support apparatus 100 includes a communication content extraction unit 1, a topic similarity calculation unit 2, and a user identification unit 3.

The communication content extraction unit 1 extracts the communication content from the communication history for each pair of the calling user and the receiving user. The topic similarity calculation unit 2 calculates the similarity between a recommendation target topic prepared in advance and the communication content.

The user identification unit 3 extracts a pair whose communication history is a communication content having a similarity higher than a threshold value. In addition, the user specifying unit 3 creates an inter-user network in which each user in the extracted pair is a node and a link from the calling user to the receiving user is an arc. Furthermore, the user identification part 3 traces a network between users about each calling user, and specifies a recommendation object user from a calling user. In addition, the user specifying unit 3 specifies a receiving user who is paired with a calling user specified as a recommendation target user as a communication partner user.

As described above, the user specifying unit 3 creates a network between users by extracting a pair having a communication history having a similarity higher than a threshold as a communication history, and specifies a recommendation target user by tracing the network between users. Therefore, according to the communication support apparatus according to the first embodiment, it is possible to spread specific topics in a wide range in consideration of the relationship between users, and to activate communication between users.

Here, the configuration of the communication support apparatus 100 according to the first embodiment will be described more specifically. As shown in FIG. 1, the communication support apparatus 100 according to the first embodiment is connected to a service providing apparatus 30. The service providing device 30 is a server device that provides communication services such as a blog service, Twitter, and SNS (Social Networking Service). The service providing device 30 is connected to the terminal device 20 used by the user via a network 40 such as the Internet. In the first embodiment, the communication support apparatus 100 supports communication in a communication place provided on the network by the service providing apparatus 30.

As shown in FIG. 1, in the first embodiment, the communication support apparatus 100 further includes an output unit in addition to the communication content extraction unit 1, the topic similarity calculation unit 2, and the user identification unit 3. 4, a communication history storage unit 5, and a recommendation target topic storage unit 6.

In the first embodiment, the communication content extraction unit 1 is configured such that, first, a communication history between users indicating contents that have been communicated between a calling user and a receiving user, a topic created by each user, or each user The interested topic is acquired from the communication history accumulating unit 5. Next, the communication content extracting unit 1 extracts communication content including keywords indicating characteristics of communication information between users or information that may be communicated from the acquired communication history.

In the first embodiment, the topic similarity calculation unit 2 first receives a topic from a recommendation target topic storage unit 6 that stores a topic to be prepared in advance (hereinafter referred to as “recommendation target topic”). Get a group. Next, the topic similarity calculation unit 2 calculates the similarity between each recommendation target topic and the content of communication between users.

In the first embodiment, the user specifying unit 3 first receives the similarity between each recommendation target topic and the content of communication between the users from the topic similarity calculating unit 2. Next, the user specifying unit 3 performs the following process for each recommendation target topic, and specifies a recommendation target user who is a recommendation destination of the recommendation target topic and a communication partner user of the recommendation target user.

Specifically, first, the user specifying unit 3 extracts a pair of a transmitting user and a receiving user whose communication history is higher than a threshold, and sets the user as a node, from the transmitting user to the receiving user. Create a network between users with a link indicating the direction as an arc.

Next, the user identification unit 3 traces the network between users for each network between users, and identifies a recommendation target user who is a recommendation destination of a recommendation target topic from among the transmission users.

Also, the user specifying unit 3 specifies a receiving user who is paired with a calling user specified as a recommendation target user as a communication partner user for each network between users. In this way, the user specifying unit 3 associates the recommendation target user, the recommendation target topic, and the communication partner user.

In the first embodiment, the output unit 4 receives set data composed of a recommendation target user, a recommendation target topic, and a communication partner user from the user specifying unit 3, and provides information indicating these to the service providing apparatus 30. Output to. Thereby, the recommendation subject and the communication partner are recommended to the recommendation target user via the service providing apparatus 30.

[Device operation]
Next, the operation of the communication support apparatus 100 according to the first embodiment will be described in detail with reference to FIGS. FIG. 2 is a flowchart for explaining the overall operation flow of the first embodiment. In the following description, FIG. 1 is taken into consideration as appropriate. In the first embodiment, the communication support method is implemented by operating the communication support apparatus. Therefore, the description of the communication support method in the first embodiment is replaced with the following description of the operation of the communication support apparatus.

[Communication history acquisition step]
First, the communication content extraction unit 1 acquires a communication history between the calling user and the receiving user (step S1). An example of this communication history is shown in FIG. FIG. 3 is a diagram showing an example of a communication history acquired by the communication content extracting unit 1 shown in FIG.

As shown in FIG. 3, the acquired communication history includes communication information between the calling user and the receiving user. For example, in the first record of the communication history shown in FIG. 3, when the calling user is user B and the receiving user is user A, text specifically exchanged between the two is recorded as communication information. . In the figure, "..." indicates omission. In the following examples, “... Further, when there is no actual communication history, a topic created by each user or a topic evaluated as interesting may be used.

[Communication content extraction step]
Next, the communication content extraction unit 1 extracts a keyword indicating the communication content from the acquired communication history (step S2). Specifically, the communication content extraction unit 1 collects information for each pair of a calling user and a receiving user, and extracts a keyword from the information.

For example, the communication content extraction unit 1 collects the communication information between the sending user B and the receiving user A shown in FIG. 3 and performs morphological analysis on the collected information, and a noun or a plurality of consecutive nouns such as “ “I”, “Dog”, “Shepard”, “My home”, “Photo”, “Winter”, “Cold”, etc. are extracted as keywords.

Further, the communication content extraction unit 1 may weight each extracted keyword. For example, the communication content extraction unit 1 may weight using a word frequency or an index of TFIDF (Term Frequency Inverse Document Frequency). Further, the communication content extraction unit 1 may extract only keywords having a weight equal to or greater than a specific threshold. Here, FIG. 4 shows an example of a set of weighted keywords extracted by the communication content extraction unit 1 for each pair of the sending user and the receiving user. 4 is a diagram showing a set of weighted keywords extracted by the communication content extraction unit 1 shown in FIG. As shown in FIG. 4, for example, in the first record, a keyword extracted from communication information between the user B who is the calling user and the user A who is the receiving user, together with the weight added thereto, “Dog: 0.2 "or the like.

Further, in the first embodiment, the communication content extraction unit 1 can also acquire a topic created by each user or a topic evaluated as having an interest as a communication history. In this case, the communication content extraction unit 1 extracts keywords from the extracted topics of each user by performing morphological analysis in the same manner as described above, and uses the extracted keywords as communication content.

[Topic acquisition step]
Next, the topic similarity calculation unit 2 acquires a topic group from a topic list to be recommended (step S3). Here, the topic is text information in which the content to be specifically spoken is written. FIG. 5 shows an example of a topic list. FIG. 5 is a diagram showing a list of recommended target topics stored in the recommended target topic storage unit 6 shown in FIG.

As shown in FIG. 5, each topic is composed of an identifier (ID) and text indicating specific contents. Note that the topic group acquired by the topic similarity calculation unit 2 from this topic list may be all the topic groups included in the topic list, or may be the topic group of the last week.

[Similarity calculation step]
Next, the topic similarity calculation unit 2 calculates the similarity between each topic of the topic group acquired in step S3 and the communication content acquired in step S2 for each pair of the sending user and the receiving user ( Step S4). Specifically, first, the topic similarity calculation unit 2 performs a morphological analysis on each topic and extracts a keyword group. Next, the topic similarity calculation unit 2 calculates the similarity between the keyword group of each topic and the keyword group of the communication content. For example, the topic similarity calculation unit 2 calculates the similarity using the number of keywords extracted from both each topic and the communication content, the cosine similarity, or the like.

FIG. 6 shows an example of the result of associating the similarity calculated in this way, each topic, the sending user and the receiving user. FIG. 6 is a diagram in which the similarity calculated by the topic similarity calculation unit 3 shown in FIG. 1 is associated with each topic, the transmitting user, and the receiving user. In FIG. 6, the similarity of each topic is shown for each pair of the sending user and the receiving user.

[Step for creating network between users]
Next, the user specifying unit 3 creates an inter-user network for each topic (step S5). Specifically, in step S5, the user specifying unit 3 uses the similarity between the topic and the communication content calculated by the topic similarity calculating unit 2, and sets a pair whose similarity is higher than a preset threshold for each topic. A network between users is created in which the extracted users are nodes and the links indicating the direction from the calling user to the receiving user are arcs. Moreover, a similarity is given to each arc.

An example of the network between users created in this way is shown in FIG. FIG. 7 is a diagram illustrating an example of an inter-user network for the topic 1 illustrated in FIG. As illustrated in FIG. 7, for example, a topic 1 similarity of “0.5” is given to the arc from the calling user A to the receiving user D. An arc indicated by a dotted line in the figure is an arc whose similarity is lower than a threshold value, and is deleted from the network between users.

[Specification step for recommended users]
Next, the user specifying unit 3 uses the inter-user network for each topic to specify a recommendation target user (step S6). In step S6, the user specifying unit 3 creates a group of connected users in the inter-user network, and the user specifying unit 3 traces the inter-user network for each calling user and comprehensively calculates the degree of similarity. To obtain the reached similarity. Furthermore, the user identification part 3 identifies the transmission user with the highest reach | attainment similarity among groups as a recommendation object user.

That is, first, the user identifying unit 3 creates a group by a group of nodes connected to each other based on the arc connection relation of the network between users. Specifically, first, the group shown in FIG. 8 is created from the network between users in FIG. FIG. 8 is a diagram showing a network group created from the network between users shown in FIG. As shown in FIG. 8, group 1 of user A, user B, user C, user D, and user E and group 2 of user X and user Y are created.

Next, in step S6, the user identification unit 3 identifies, as a recommendation target user, a user who can deliver a topic that is most widely and continuously interested in each group. Specifically, first, by tracing the arc of the network between users for each outgoing user in the group, the user who has reached the topic (hereinafter referred to as “arriving user”) is determined. For example, in the group 1, the topic of the user A reaches the user D. For other outgoing users, the arrival user is determined in the same manner as follows.

(Group 1)
User A → User D
User B → User C, User A, User D
User C → None User D → None User E → User A, User D
(Group 2)
User X → None User Y → User X

Furthermore, the user specifying unit 3 acquires the reached similarity obtained by comprehensive calculation such as the total, average, or maximum value of the similarity given to the arc traced when the user is identified. For example, when the user E is the starting point, if the total similarity given to the arc is used as the reaching similarity, the similarities in the two arcs of the user E → user A and user A → user D are summed and reached. The similarity is 1.0. Similarly, calculation for other users is as follows.

(Group 1)
User A → User D: 0.5
User B → User C, User A, User D: 1.7
User C → None: 0
User D → None: 0
User E → User A, User D: 1.0
(Group 2)
User X-> None: 0
User Y → User X: 0.7

Thereby, the user specifying unit 3 specifies the user B having the highest reach similarity in the group 1 as the recommendation target user, and specifies the user Y having the highest reach similarity in the group 2 as the recommendation target user.

Moreover, in this Embodiment 1, the user specific | specification part 3 may specify a recommendation object user in combination with a user with high transmission capability. For example, the number of receiving users for each calling user is one for user A, two for user B, one for user E, one for user Y, and zero for others. The user who has the largest value obtained by multiplying the number of users by the number of users who have reached the topic may be specified as the recommendation target user.

[Specific steps for communicating users]
Next, the user specifying unit 3 refers to the network between users, and specifies a communication partner assumed to recommend a topic by the recommended user as a communication partner user (step S7).

In other words, the user specifying unit 3 refers to the network between users, and specifies that the user ahead of the recommendation target user's arc is a user who is likely to receive a topic from the recommendation target user as a communication partner user. . Here, when there is no user ahead of the recommendation target user's arc, the user specifying unit 3 determines that there is no communication partner.

For example, in the example of FIG. 8, the user specifying unit 3 specifies user C and user A, who are users ahead of the arc of the recommendation target user B, as communication partner users. Similarly, the user specifying unit 3 specifies the user X as a communication partner user for the recommendation target user Y. As a result, in the first embodiment, the user specifying unit 3 determines that “topic: topic 1, recommendation target user: B, communication partner user: A, C”, “topic: topic 1, recommendation target user: Y, communication The other party user: X ”is output to the output unit 4 as set data.

[Step of determining whether there are unreachable users]
Next, the user specifying unit 3 traces the network between users for the calling user, and determines whether or not there is a user who has not yet reached a topic in each group (step S8). When there is an unreachable user who does not reach the topic from any calling user, the user identifying unit 3 deletes the topic reaching user from the inter-user network, returns to step S5, and sets only the unreached user as a node. Recreate the user-to-user network. And the user specific | specification part 3 moves to the specific process of a recommendation object user further. On the other hand, when there is no unreached user, the process proceeds to the output process of step S9.

For example, in the example of FIG. 8, the topic has not reached the user E, and the topic has reached the other users. Therefore, the user specifying unit 3 deletes other users except the user E, and recreates the network between users leaving only the user E (step S5). Thus, when the user specifying unit 3 executes the recommendation target user specifying process (step S6), the user E is specified as the recommendation target user. At this time, in the communication partner identification process (step S7), since there is no user ahead of the arc of user E, it is identified that there is no communication partner. As a result, the set data “topic: topic 1, recommended user: E, communication partner user: none” is output to the output unit 4.

Fig. 9 shows an example of the associated set data. FIG. 9 is a diagram illustrating a correspondence between a topic, a recommendation target user, and a communication partner user, which is associated by the user specifying unit. In FIG. 9, for each recommendation target user, a topic scheduled to be recommended to the user is shown. The topic groups are arranged in the total order of similarity in the arc (in descending order of arrival similarity). In each column, “Topic ID: Total Similarity” is displayed in the upper row, and “Communication Partner User” is displayed in the lower row. For example, the first topic column in the first row indicates that, for user A, the estimation target topic is topic 3, there is no communication partner user, and the reaching similarity is 0.

[Output step]
Finally, the output unit 4 outputs information on the associated set data to the service providing apparatus 30 (step S9). As a result, the recommendation target topic is recommended to the recommendation target user via the service providing apparatus 30. In step S9, the output unit 4 recommends a recommendation target topic together with the communication partner user, so that the service providing apparatus 30 recognizes who the communication topic is.

[program]
The program according to the first embodiment of the present invention may be a program that causes a computer to execute steps S1 to S9 shown in FIG. By installing and executing this program on a computer, the communication support apparatus 100 and the communication support method according to the first embodiment can be realized.

In the first embodiment of the present invention, a CPU (CentralＣＰＵProcessing Unit) of a computer functions as a communication content extracting unit 1, a topic similarity calculating unit 2, a user specifying unit 3, and an output unit 4 to perform processing. . In the first embodiment, the communication history storage unit 5 and the recommendation target topic storage unit 6 store the data files constituting them in a storage device such as a hard disk provided in the computer, or this data. This is realized by mounting a recording medium storing a file on a reading device connected to a computer.

Here, a computer that realizes a communication support apparatus by executing the program according to the first embodiment will be described with reference to FIG. FIG. 19 is a block diagram illustrating an example of a computer that implements the communication support apparatus 100 according to Embodiment 1 of the present invention.

As shown in FIG. 19, the computer 150 includes a CPU 111, a main memory 112, a storage device 113, an input interface 114, a display controller 115, a data reader / writer 116, and a communication interface 117. These units are connected to each other via a bus 121 so that data communication is possible.

The CPU 111 performs various operations by developing the program (code) in the first embodiment stored in the storage device 113 in the main memory 112 and executing them in a predetermined order. The main memory 112 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory). The program according to the first embodiment is provided in a state where it is stored in a computer-readable recording medium 120. Note that the program in the present embodiment may be distributed on the Internet connected via the communication interface 117.

Further, specific examples of the storage device 113 include a semiconductor storage device such as a flash memory in addition to a hard disk. The input interface 114 mediates data transmission between the CPU 111 and an input device 118 such as a keyboard and a mouse. The display controller 115 is connected to the display device 119 and controls display on the display device 119. The data reader / writer 116 mediates data transmission between the CPU 111 and the recording medium 120, and reads a program from the recording medium 120 and writes a processing result in the computer 110 to the recording medium 120. The communication interface 117 mediates data transmission between the CPU 111 and another computer.

Specific examples of the recording medium 120 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic storage media such as a flexible disk, or CD- Optical storage media such as ROM (Compact Disk Read Only Memory) are listed.

[effect]
In this way, the user specifying unit 3 extracts a pair whose communication history is higher than the threshold and uses the communication history to create an inter-user network, and traces the inter-user network to specify a recommendation target user. For this reason, according to the communication support apparatus 100 according to the first embodiment, it is possible to spread a specific topic in a wide range in consideration of the relationship between users, and to activate communication between users. .

In addition, as described above, the user specifying unit 3 traces the network between users, acquires the arrival similarity obtained by comprehensively calculating the similarity, and sets the calling user having the highest arrival similarity as the recommendation target user. Identify. For this reason, according to the communication assistance apparatus 100 which concerns on this Embodiment 1, a topic can be recommended to the specific user who can provide a topic most widely and continuously. Further, by recommending a topic only to a specific user, it is possible to reduce the cost at the time of transmission when recommending the topic to the user.

In addition, as described above, the user specifying unit 3 traces the network between users, and when there is an unreachable user, the user specifying unit 3 re-creates the network between users with only the unreachable user as a node, and specifies the recommended user again To do. For this reason, according to the communication assistance apparatus 100 which concerns on this Embodiment 1, it can prevent that the user who does not reach a topic exists.

(Embodiment 2)
Next, a second embodiment of the present invention will be described. FIG. 10 is a block diagram illustrating a configuration of the entire system including the communication support apparatus 200 according to the second embodiment. The second embodiment is different from the first embodiment shown in FIG. 1 in that the communication support system 200 is provided with the user respecifying unit 7. Below, a different point is mainly demonstrated.

In the second embodiment, the user respecifying unit 7 refers to a set of set data composed of the recommendation target user, the topic, and the communication partner user specified by the user specifying unit 3, so that the recommendation target user having a large number of topics In a topic group of recommended target users with a large number of specified topics, a topic showing high interest is left, and recommended target users of other topics are specified again.

Specifically, the user respecifying unit 7 counts the number of recommended target topics identified and associated as recommended target users for each sending user. Then, when the counted number is larger than the predetermined number, the user respecifying unit 7 again specifies the recommendation target user so that a part of the recommendation target topic is recommended to other users.

[Device operation]
Next, the operation of the communication support apparatus 200 according to the second embodiment will be described in detail with reference to the flowchart of FIG. FIG. 11 is a flowchart for explaining the overall operation flow of the second embodiment.

As shown in FIG. 11, in the second embodiment, unlike the first embodiment, a step of determining whether there is a user with a large number of topics, a step of specifying a change target topic, and respecifying a recommendation target user And a step of respecifying the communication partner user are executed. The following description will mainly focus on the different steps.

In the following description, refer to FIG. 10 as appropriate. In the second embodiment, the communication support method is implemented by operating the communication support apparatus 200. Therefore, the description of the communication support method in the second embodiment is replaced with the following description of the operation of the communication support apparatus.

[Step S11 to Step S18]
First, as shown in FIG. 11, steps S11 to S18 are executed. However, steps S11 to S18 shown in FIG. 11 are the same steps as steps S1 to S8 shown in FIG.

[Specific steps for users with many topics]
After executing step S18, the user re-specification unit 7 specifies a user with a large number of topics on the condition that there is no topic unreachable user (step S19). Specifically, the user respecifying unit 7 counts the number of recommendation target topics that are identified and associated as recommendation target users for each calling user. If the counted number is larger than the predetermined number, the user who is scheduled to be recommended is specified. For example, in the case of the example shown in FIG. 9, if the predetermined number is 2, user B and user C who are scheduled to recommend two or more topics are specified. Note that the “predetermined number” in step S19 is appropriately set by experiment or the like.

[Specific steps for changing topics]
Next, the user respecifying unit 7 describes a topic to be changed by the recommendation target user (hereinafter referred to as “change target topic”) from the recommendation target topic group to be recommended to the user specified in step S16. ) Is selected as shown below (step S20). Note that the user respecifying unit 7 can also randomly select a change target topic.

Specifically, in step S20, first, the user respecifying unit 7 sorts the recommendation target topics of each user identified in step S16 in the order of topics in which the interest continues continuously for each user. That is, the user respecifying unit 7 ranks the recommendation target topics in descending order of the reaching similarity for each user.

Next, the user respecifying unit 7 extracts recommended target topics having a predetermined number of ranks or more, and arranges the extracted topic groups for all users in the order of topics that continue to be of interest, The top topic is selected as the change target topic. For example, taking FIG. 9 as an example and assuming that the “predetermined number” is 2, topic 1 and topic 5 are extracted for user B, and topic 7 is extracted for user C. Then, when the user re-specifying unit 7 arranges them in the order in which the interests continue further (in the order of high arrival similarity), the topics are topic 1 of user B, topic 5 of user B, user C Line up in the order of topic 7. For this reason, the user respecifying unit 7 selects the topic 1 of the top user B.

[Re-identification step for recommended users]
Next, the user respecifying unit 7 identifies the recommendation target user again so that the change target topic that is a part of the recommendation target topic is recommended to other users (step S21). First, as in the first embodiment, the user respecifying unit 7 creates an inter-user network of a change target topic. Next, the communication partner user of the user who was the previous recommendation target is re-specified as a new recommendation target user.

For example, it is assumed that the user respecifying unit 7 selects the topic 1 of the user B as the change target topic. In this case, the user respecifying unit 7 creates a network between users similar to the network between users shown in FIG. Further, the user respecifying unit 7 refers to the network group shown in FIG. 8, and the user A and the user C who are communication partners of the user B who was the previous recommendation target user and the topic reaching user and the persistent topic And the reached similarity indicating the interest of the user. That is, the result is as follows.

User A → User D: 0.5
User C → None: 0

However, when the user C is the topic reaching user of the user A, the user respecifying unit 7 may not acquire the reaching similarity for the user C.

[Re-identification step for communication partner]
Next, the user respecifying unit 7 respecifies the communication partner user (step S22). Specifically, in step S22, first, the user respecifying unit 7 identifies the user ahead of the arc of the recommendation target user respecified in step S21 as the communication partner user, as in the first embodiment. Next, the user respecifying unit 7 also identifies the user identified as the recommendation target user by the user identifying unit 3 as a new communication partner user.

For example, the user respecifying unit 7 identifies, as a communication partner, the user D who is the user ahead of the arc and the user B who was the user to be recommended last time, with respect to the user A in the inter-user network of Topic 1. The user re-specification unit 7 specifies only the user B who is the previous recommendation target user as the communication partner user because there is no user ahead of the arc in the network between users in step S21 for the user C.

FIG. 12 is a diagram showing the correspondence between the topic, the recommendation target user, and the communication partner user, which are associated by the user identifying unit and the user re-identifying unit. In step S13, in the example of FIG. 12, “topic: topic 1, recommended user: A, communication partner user: B, D”, “topic: topic 1, recommended user: C, communication partner user: B”, And so on.

[Step of determining the presence or absence of users with many topics]
Next, as in step S19, the user respecifying unit 7 counts the number of recommended target topics identified and associated as recommended target users for each calling user, and determines whether there is a user with a large number of topics. (Step S23). If there are users with many topics, the user respecifying unit 7 returns to step S19 to identify users with many topics, and repeats steps S19 to S23. On the other hand, if there is no user with a large number of topics, step S24 is executed.

[Output step]
Finally, in step S24, the output unit 4 recommends the recommendation target topic to the recommendation target user via the service providing device 30 by outputting the information of the associated set data as in step S9. .

[program]
The program according to the second embodiment of the present invention may be a program that causes a computer to execute steps S11 to S24 shown in FIG. By installing and executing this program on a computer, the communication support apparatus 200 and the communication support method according to the second embodiment can be realized.

In the case of the second embodiment of the present invention, the CPU (Central Processing コ ン ピ ュ ー タ Unit) of the computer is a communication content extracting unit 1, a topic similarity calculating unit 2, a user specifying unit 3, an output unit 4, and a user respecifying unit 7. Functions and processes. In the second embodiment, the communication history storage unit 5 and the recommendation target topic storage unit 6 store the data files constituting them in a storage device such as a hard disk provided in the computer, or this data. This is realized by mounting a recording medium storing a file on a reading device connected to a computer.

The computer that implements the communication support apparatus 200 according to Embodiment 2 of the present invention has the same configuration as the computer that implements the communication support apparatus 100 according to Embodiment 1 shown in FIG.

[effect]
Thus, the user respecifying unit 7 counts the number of recommendation target topics identified and associated as recommendation target users for each calling user, and when the counted number is larger than a predetermined number, The recommendation target user is specified again so that a part of the recommendation target topic is recommended to other users. Therefore, according to the communication support apparatus 200 according to the second embodiment, it is possible to prevent the number of topics recommended among users from being biased.

Further, as described above, the user respecifying unit 7 identifies the user identified as the communication partner user by the user identifying unit 3 as a new recommendation target user. For this reason, according to the communication assistance apparatus 200 which concerns on this Embodiment 2, it can prevent that a topic does not reach the user specified as a recommendation object user last time. Furthermore, according to the communication support apparatus 200 according to the second embodiment, the user newly specified as the recommendation target user can communicate with the user specified as the previous recommendation target user.

(Embodiment 3)
Next, a third embodiment of the present invention will be described. FIG. 13 is a block diagram illustrating a configuration of the entire system including the communication support apparatus 300 according to the third embodiment. In the third embodiment, unlike the second embodiment shown in FIG. 10, the communication support 300 further includes a topic browsing history accumulation unit 10 and a topic recommendation history accumulation unit 11. The third embodiment is different from the second embodiment in terms of the functions of the user specifying unit 8 and the user respecifying unit 9. Hereinafter, the different points will be mainly described.

In the third embodiment, the user identification unit 8 refers to topic browsing history information that identifies topics browsed by each user and topic recommendation history information that identifies topics recommended to each user. And the user specific | specification part 8 produces a network between users except the user who browsed or the recommended user, when the user who browsed the recommendation object topic already, or the user who has already been recommended exists.

Further, in the third embodiment, the user respecifying unit 9 identifies the topic browsed by each user in the same manner as the user identifying unit 8 when respecifying the recommendation target user and the communication partner user. The topic recommendation history information for identifying the information and the topic recommended for each user is referred to. Then, when there is a user who has already browsed the recommended topic or a user who has already been recommended, the user respecifying unit 9 creates an inter-user network excluding the user who has browsed or the recommended user.

In the third embodiment, the topic browsing history accumulation unit 10 accumulates topic browsing history information that is a history of topics browsed by each user. Further, the topic browsing history accumulating unit 10 can output the topic browsed by the user to the user specifying unit 8 and the user respecifying unit 9. Furthermore, the topic browsing history accumulating unit 10 can estimate which topic has been communicated from the communication history after the previous recommendation time, and can add the estimated topic to the browsing history of the sending user and the receiving user.

A specific example is shown in FIG. FIG. 14 is a diagram illustrating an example of the topic browsing history stored in the topic browsing history storage unit 10 illustrated in FIG. As illustrated in FIG. 14, the topic browsing history information includes a user and a browsing topic. The first record indicates that the user A has browsed the topic 1. Moreover, this is an example, and the topic browsing history information may include browsing time and the like.

In the third embodiment, the topic recommendation history accumulating unit 11 accumulates the recommended content recommended by the communication support apparatus 300 for each user as the topic recommendation history. A specific example is shown in FIG. FIG. 15 is a diagram illustrating an example of the topic recommendation history stored in the topic recommendation history storage unit 11 illustrated in FIG. As shown in FIG. 15, the topic recommendation history information includes a recommendation target user and a recommended topic. The first record indicates that topic 1 is recommended to user B. This is an example, and the topic recommendation history may include a communication partner user and a recommended time.

[Device operation]
Next, the operation of the communication support apparatus 300 according to the third embodiment will be described. In the following description, FIG. 13 is referred to as appropriate. In the third embodiment, the communication support method is implemented by operating the communication support apparatus. Therefore, the description of the communication support method according to the third embodiment is replaced with the following description of the operation of the communication support apparatus.

In the third embodiment, the communication support apparatus 300 executes steps according to steps S11 to S24 shown in FIG. 11 in the second embodiment. However, the communication support apparatus 300 according to the third embodiment executes the steps described below in steps S15 to S17 and steps S21 to S22 in the second embodiment.

[Step S15 to Step S17]
In step S <b> 15 illustrated in FIG. 11, the user specifying unit 8 receives the similarity between each topic and each user's communication content from the topic similarity calculation unit 2. And the user specific | specification part 8 leaves the user with high similarity for every topic, and produces the network between users which makes a link the arc which shows the direction which went to the receiving user from a user and a node as a user.

At this time, the user specifying unit 8 refers to the topic browsing history information from the topic browsing history storage unit 10. In addition, the user identification unit 8 refers to the topic recommendation history information from the topic recommendation history storage unit 11. And the user specific | specification part 8 produces an inter-user network except the user who browsed or the recommended user, when the user who browsed already or the user already recommended exists.

Further, the user specifying unit 8 specifies a user having a large number of reaching users as a recommendation target user for each created inter-user network, as in step S16 and step S17 illustrated in FIG. The directly connected receiving user is specified as the communication partner user.

[Step S21 to Step S22]
In step S21 shown in FIG. 11, the user respecifying unit 9 receives a set of set data composed of the recommendation target user, the topic, and the receiving user specified by the user specifying unit 8, and receives a recommendation target user having a large number of topics In a topic group of recommended target users with a large number of specified topics, a topic showing high interest is left, and recommended target users of other topics are specified again.

At this time, the user respecifying unit 9 refers to the topic browsing history information and the topic recommendation history information, and creates an inter-user network by excluding the already browsed users from the reidentification target. Then, the user respecifying unit 9 respecifies the communication partner user of the user who was the previous recommendation target as a new recommendation target user for each created inter-user network.

Also, the user respecifying unit 9 respecifies the communication partner user, similarly to step S22 shown in FIG.

[program]
The program according to the third embodiment of the present invention is a program that causes a computer to execute steps S11 to S24 shown in FIG. 11, and the steps S15 to S17 and steps S21 to S22 are as described above. Any program that can execute various steps may be used. By installing and executing this program on a computer, the communication support apparatus 300 and the communication support method according to the third embodiment can be realized.

In the case of Embodiment 3 of the present invention, the CPU (Central Processing の Unit) of the computer is a communication content extracting unit 1, a topic similarity calculating unit 2, an output unit 4, a user specifying unit 8, and a user respecifying unit 9. Functions and processes. In the third embodiment, the communication history storage unit 5, the recommended target topic storage unit 6, the topic browsing history storage unit 10, and the topic recommendation history storage unit 11 are stored in a storage device such as a hard disk provided in the computer. This is realized by storing a data file that constitutes the above, or by mounting a recording medium storing the data file on a reading device connected to a computer.

The computer that implements the communication support apparatus 300 according to Embodiment 3 of the present invention has the same configuration as the computer that implements the communication support apparatus 100 according to Embodiment 1 shown in FIG.

[effect]
As described above, in the third embodiment, the user specifying unit 8 and the user respecifying unit 9 refer to the topic browsing history information and the topic recommendation history information, and have already browsed the recommendation target topic or have already been recommended users. If a user exists, an inter-user network is created except for the viewed user or the recommended user. For this reason, according to the communication assistance apparatus 300 which concerns on this Embodiment 3, it can prevent revising the topic browsed already or the topic already recommended.

(Embodiment 4)
Next, a fourth embodiment of the present invention will be described. FIG. 16 is a block diagram showing a configuration of the entire system including the communication support apparatus 400 according to Embodiment 4 of the present invention. The fourth embodiment is different from the third embodiment in terms of the function of the topic similarity calculation unit 12 and the configuration of the recommendation target topic stored in the recommendation target topic storage unit 13. Hereinafter, differences from the third embodiment will be described.

In the recommendation target topic 13, in the fourth embodiment, unlike the recommendation target topic shown in FIG. 5, the topic and related topics related thereto are accumulated. Related topics include the original article and its follow-up for news, and previous product announcements from the same company for topics related to product announcements.

In the fourth embodiment, the topic similarity calculating unit 12 refers to the topic browsing history information that identifies the topic browsed by each user, and calculates the similarity between the recommendation target topic and the communication content. When a topic related to the recommendation target topic (related topic) has been browsed, the similarity is calculated high.

Specifically, the topic similarity calculation unit 12 first acquires data of a topic and its related topic from the recommendation target topic storage unit 13. Next, the topic similarity calculation unit 12 refers to the topic browsing history information and determines whether or not the user has browsed the related topic of the acquired topic. Next, the topic similarity calculation unit 12 calculates a high similarity when the user has viewed a related topic of the topic when calculating the similarity between the communication content between the users and the topic. .

In the fourth embodiment, the communication support apparatus 400 executes steps according to steps S11 to S24 shown in FIG. 11 in the second embodiment. However, the communication support apparatus 400 according to the fourth embodiment executes the steps described below in step S14 in the second embodiment.

Specifically, in step S14 shown in FIG. 11, when the calling user browses the related topic, the topic similarity calculation unit 12 sets a specific value (for example, 0) for the similarity between the communication content and the topic. .5) is added to calculate a high similarity value.

[program]
The program according to the fourth embodiment of the present invention is a program that causes a computer to execute steps S11 to S24 shown in FIG. 11, and may be any program that causes the above steps to be executed with respect to step S14. By installing and executing this program on a computer, the communication support apparatus 400 and the communication support method according to the fourth embodiment can be realized.

In the case of Embodiment 4 of the present invention, the CPU (Central Processing Unit) of the computer includes a communication content extracting unit 1, an output unit 4, a user specifying unit 8, a user respecifying unit 9, and a topic similarity calculating unit 12, Functions as a process. In the fourth embodiment, the communication history storage unit 5, the topic browsing history storage unit 10, the topic recommendation history storage unit 11, and the recommendation target topic storage unit 13 are stored in a storage device such as a hard disk provided in the computer. This is realized by storing a data file that constitutes the above, or by mounting a recording medium storing the data file on a reading device connected to a computer.

The computer that implements the communication support apparatus 400 according to Embodiment 4 of the present invention has the same configuration as the computer that implements the communication support apparatus 100 according to Embodiment 1 shown in FIG.

[effect]
As described above, in the communication support apparatus 400 according to the fourth embodiment, the topic similarity calculation unit 12 refers to the topic browsing history information and calculates the similarity between the recommendation target topic and the communication content. When a topic related to the recommendation target topic has been browsed, the similarity is calculated to be high. For this reason, according to the communication assistance apparatus 400 which concerns on this Embodiment 4, possibility that this browsed user will receive the topic relevant to the topic browsed by the user previously can be made high.

(Embodiment 5)
Next, a fifth embodiment of the present invention will be described. FIG. 17 is a block diagram showing a configuration of the entire system including the communication support apparatus 500 according to Embodiment 5 of the present invention. The fifth embodiment is different from the fourth embodiment in terms of the function of the topic similarity calculation unit 14 and the point that a pair data storage unit 15 is further provided. Hereinafter, differences from the fourth embodiment will be described.

In the fifth embodiment, the topic similarity calculating unit 14 calculates the similarity between the recommended topic and the communication content, and the pair whose communication history is the communication history is a pair in which the relationship is strengthened in advance. If it is, the degree of similarity is calculated high.

In the fifth embodiment, the pair data storage unit 15 stores information (hereinafter referred to as “pair data”) related to a user pair whose relationship is to be strengthened. This pair data may be set by a system administrator, or may be created by another system that estimates the relationship between users. An example is shown in FIG. FIG. 18 is a diagram illustrating an example of pair data stored in the pair data storage unit 15 illustrated in FIG. As shown in FIG. 18, the pair data is composed of identifiers (names) of two users who are paired. In the first record, user A and user B are recorded as user relationships to be strengthened. Further, this example is an example, and a degree of enhancement may be given. In this case, the topic similarity calculation unit 14 may calculate a high similarity between the topic and the communication content based on this degree.

In the fifth embodiment, the communication support apparatus 500 executes steps according to steps S11 to S24 shown in FIG. 11 in the second embodiment. However, the communication support apparatus 500 according to the fifth embodiment executes the steps described below in step S14 in the second embodiment.

Specifically, in step S14 shown in FIG. 11, the topic similarity calculation unit 14 first acquires data on a topic and its related topic from the recommendation target topic storage unit 13, and refers to the topic browsing history information. Then, it is determined whether or not the user has viewed a related topic of the acquired topic. And the topic similarity calculation part 14 calculates a similarity high, when the user has browsed a related topic, when calculating the similarity between the content of communication between users, and a topic.

Further, when calculating the similarity, the topic similarity calculation unit 14 refers to the pair data stored in the pair data storage unit 15, and the transmission user and the reception user whose communication contents are the communication history are the reinforcement target pairs. If it is, a specific value (for example, 0.5) is added to the similarity between the communication content between the users and the topic, and the value of the similarity is calculated high.

[program]
The program according to the fifth embodiment of the present invention is a program that causes a computer to execute steps S11 to S24 shown in FIG. 11, and may be any program that causes the above steps to be executed with respect to step S14. By installing and executing this program on a computer, the communication support apparatus 500 and the communication support method according to the fifth embodiment can be realized.

In the case of the fifth embodiment of the present invention, the CPU (Central Processing Unit) of the computer includes a communication content extracting unit 1, an output unit 4, a user specifying unit 8, a user respecifying unit 9, and a topic similarity calculating unit 14, Functions as a process. In the fifth embodiment, the communication history storage unit 5, the topic browsing history storage unit 10, the topic recommendation history storage unit 11, the recommendation target topic storage unit 13, and the pair data storage unit 15 are a hard disk provided in a computer or the like. This is realized by storing data files constituting these in the storage device or by mounting a recording medium storing the data files in a reading device connected to a computer.

The computer that implements the communication support apparatus 500 according to Embodiment 5 of the present invention has the same configuration as the computer that implements the communication support apparatus 100 according to Embodiment 1 shown in FIG.

[effect]
In this way, when the topic similarity calculation unit 14 calculates the similarity between the recommended topic and the communication content, the pair whose communication history is the communication history is a pair for which relationship strengthening is set in advance. Is calculated with a high similarity. For this reason, according to the communication assistance apparatus which concerns on this invention, possibility that a topic will be recommended between users who want to strengthen can be made high.

Some or all of Embodiments 1 to 5 described above can be expressed by (Appendix 1) to (Appendix 24) described below, but is not limited to the following description.

(Appendix 1)
A communication content extraction unit that extracts communication content from the communication history for each pair of a sending user and a receiving user;
A topic similarity calculation unit that calculates a similarity between a recommendation target topic prepared in advance and the communication content;
A recommendation target user who is a recommendation destination of the recommendation target topic, and a user specifying unit that specifies a communication partner user of the recommendation target user,
The user specifying unit includes:
A user who extracts the pair whose communication content is higher than a threshold as the communication history, extracts each pair as a node, and uses a link from the calling user to the receiving user as an arc. Create a network between
Follow the network between users for each of the sending users, identify the recommended user from the sending users, and identify the receiving user who is in a paired relationship with the sending user identified as the recommended user as the communication partner A communication support apparatus characterized by being identified as a user.

(Appendix 2)
The user specifying unit includes:
Of the network between users, create a group of users in a connection relationship, follow the network between users for each calling user, obtain the reach similarity obtained by comprehensively calculating the similarity, The communication support apparatus according to appendix 1, wherein the calling user having the highest reach similarity among the groups is specified as the recommendation target user.

(Appendix 3)
The user specifying unit includes:
If there is a user who does not reach the calling user from any of the calling users for each calling user, the network between users is created again with only the non-reaching user as the node, and the recommendation target The communication support apparatus according to appendix 2, wherein the user is specified again.

(Appendix 4)
The communication support device further includes:
For each of the sending users, the number of the recommendation target topics identified and associated as the recommendation target user is counted, and when the counted number is larger than a predetermined number, a part of the recommendation target topics The communication support apparatus according to any one of appendix 1 to appendix 3, further comprising: a user re-identifying unit that identifies the recommended user again so that the user is recommended to other users.

(Appendix 5)
The user respecifying unit
The communication support apparatus according to appendix 4, wherein when the user to be recommended is specified again, the user specified as the communication partner user by the user specifying unit is specified as the new user to be recommended.

(Appendix 6)
The user identification unit is
With reference to topic browsing history information for identifying topics browsed by each user and topic recommendation history information for identifying topics recommended to each user, a user who has already browsed or has already recommended the recommended topic 6. The communication support apparatus according to any one of Supplementary Note 1 to Supplementary Note 5, wherein, if present, the network between users is created excluding the browsed user or the recommended user.

(Appendix 7)
The topic similarity calculation unit
The topic browsing history information that identifies the topic viewed by each user is referred to, and when the similarity between the recommended target topic and the communication content is calculated, the calling user browses the topic related to the recommended target topic In some cases, the communication support apparatus according to any one of appendix 1 to appendix 6, wherein the similarity is calculated to be high.

(Appendix 8)
The topic similarity calculation unit
When calculating the similarity between the recommended topic and the communication content, if the pair having the communication content as the communication history is a pair for which relationship strengthening is set in advance, the similarity is calculated. 8. The communication support device according to any one of appendix 1 to appendix 7, wherein the communication support device is calculated to be high.

(Appendix 9)
A communication content extraction step for extracting communication content from the communication history for each pair of the sending user and the receiving user;
A topic similarity calculating step for calculating a similarity between a recommendation target topic prepared in advance and the communication content;
A pair extracting step of extracting the pair having the communication content having a similarity higher than a threshold as the communication history;
A network creation step of creating a network between users with each user as a node in the extracted pair and with a link from the calling user to the receiving user as an arc;
Follow the network between users for each of the sending users, identify the recommended user from the sending users, and identify the receiving user who is in a paired relationship with the sending user identified as the recommended user as the communication partner A communication support method comprising: a user specifying step that specifies a user.

(Appendix 10)
In the user specifying step,
Create a group of connected users in the network between users,
Follow the network between users for each of the calling users, obtain a reaching similarity obtained by comprehensively calculating the similarity, and select the calling user with the highest reaching similarity in the group as the recommendation target user The communication support method according to appendix 9, characterized in that:

(Appendix 11)
If there is a user who does not reach the calling user from any of the calling users for each calling user, the network between users is created again with only the non-reaching user as the node, and the recommendation target The communication support method according to supplementary note 10, further comprising the step of specifying the user again.

(Appendix 12)
For each of the sending users, the number of the recommendation target topics identified and associated as the recommendation target user is counted, and when the counted number is larger than a predetermined number, a part of the recommendation target topics The communication support method according to any one of appendix 9 to appendix 11, further comprising a user re-specification step of re-specifying the recommendation target user so that the user is recommended to other users.

(Appendix 13)
In the user re-specification step, when the recommendation target user is specified again, the user specified as the communication partner user in the user specification step is specified as the new recommendation target user. The communication support method described.

(Appendix 14)
In the network creation step, referring to topic browsing history information for identifying topics browsed by each user and topic recommendation history information for identifying topics recommended to each user, the user who has already browsed the recommended topic or 14. The communication support according to any one of appendix 9 to appendix 13, wherein when there is a user who has already been recommended, the network between users is created excluding the browsed user or the recommended user Method.

(Appendix 15)
In the topic similarity calculation step,
The topic browsing history information that identifies the topic viewed by each user is referred to, and when the similarity between the recommended target topic and the communication content is calculated, the calling user browses the topic related to the recommended target topic In some cases, the communication support method according to any one of appendix 9 to appendix 14, wherein the similarity is calculated to be high.

(Appendix 16)
In the topic similarity calculation step,
When calculating the similarity between the recommended topic and the communication content, if the pair having the communication content as the communication history is a pair for which relationship strengthening is set in advance, the similarity is calculated. The communication support method according to any one of supplementary note 9 to supplementary note 15, wherein the communication support method is characterized in that the calculation is made high.

(Appendix 17)
On the computer,
A communication content extraction step for extracting communication content from the communication history for each pair of the sending user and the receiving user;
A topic similarity calculating step for calculating a similarity between a recommendation target topic prepared in advance and the communication content;
A pair extracting step of extracting the pair having the communication content having a similarity higher than a threshold as the communication history;
A network creation step of creating a network between users with each user as a node in the extracted pair and with a link from the calling user to the receiving user as an arc;
Follow the network between users for each of the sending users, identify the recommended user from the sending users, and identify the receiving user who is in a paired relationship with the sending user identified as the recommended user as the communication partner A user identification step for identifying as a user;
The computer-readable recording medium which has recorded the program containing the instruction | command which performs this.

(Appendix 18)
In the user specifying step,
Create a group of connected users in the network between users,
Follow the network between users for each of the calling users, obtain a reaching similarity obtained by comprehensively calculating the similarity, and select the calling user with the highest reaching similarity in the group as the recommendation target user The computer-readable recording medium according to appendix 17, characterized by:

(Appendix 19)
If there is a user who does not reach the calling user from any of the calling users for each calling user, the network between users is created again with only the non-reaching user as the node, and the recommendation target Item 19. The computer-readable recording medium according to item 18, further causing the computer to execute a step of identifying the user again.

(Appendix 20)
For each of the sending users, the number of the recommendation target topics identified and associated as the recommendation target user is counted, and when the counted number is larger than a predetermined number, a part of the recommendation target topics 20. The computer-readable record according to any one of appendix 17 to appendix 19, further causing the computer to execute a user re-identifying step for re-identifying the recommendation target user so that the user is recommended to other users. Medium.

(Appendix 21)
(Supplementary note 20) In the user re-specification step, when the recommendation target user is specified again, the user specified as the communication partner user in the user specification step is specified as the new recommendation target user. The computer-readable recording medium as described.

(Appendix 22)
In the network creation step, referring to topic browsing history information for identifying topics browsed by each user and topic recommendation history information for identifying topics recommended to each user, the user who has already browsed the recommended topic or The computer reading according to any one of appendix 17 to appendix 21, wherein when there is a user who has already been recommended, the network between users is created excluding the browsed user or the recommended user. Possible recording media.

(Appendix 23)
In the topic similarity calculation step,
The topic browsing history information that identifies the topic viewed by each user is referred to, and when the similarity between the recommended target topic and the communication content is calculated, the calling user browses the topic related to the recommended target topic In such a case, the computer-readable recording medium according to any one of appendix 17 to appendix 22, wherein the similarity is calculated to be high.

(Appendix 24)
In the topic similarity calculation step,
When calculating the similarity between the recommended topic and the communication content, if the pair having the communication content as the communication history is a pair for which relationship strengthening is set in advance, the similarity is calculated. 24. The computer-readable recording medium according to any one of appendix 17 to appendix 23, wherein the computer readable recording medium is calculated to be high.

The present invention has been described above with reference to the embodiments, but the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

This application claims priority based on Japanese Patent Application No. 2011-158131 filed on July 19, 2011, the entire disclosure of which is incorporated herein.

As described above, according to the present invention, it is possible to spread a wide range of topics in consideration of the relationship between users, so that communication between users can be activated. Therefore, the present invention can be applied to an application such as an information providing support device in a communication tool or a program for realizing the information providing support device on a computer.

DESCRIPTION OF SYMBOLS 1 Communication content extraction part 2 Topic similarity calculation part (Embodiment 1, Embodiment 2, Embodiment 3)
3 User identification unit (Embodiment 1 and Embodiment 2)
4 Output unit 5 Communication history storage unit 6 Recommendation target topic storage unit (Embodiment 1, Embodiment 2, Embodiment 3)
7 User re-specification part (Embodiment 2)
8 User identification unit (Embodiment 3, Embodiment 4, Embodiment 5)
9 User re-specification unit (Embodiment 3, Embodiment 4, Embodiment 5)
DESCRIPTION OF SYMBOLS 10 Topic browsing history storage part 11 Topic recommendation history storage part 12 Topic similarity calculation part (Embodiment 4)
13 Recommendation Target Topic Storage Unit (Embodiment 4 and Embodiment 5)
14 Topic similarity calculator (Embodiment 5)
15 Pair Data Storage Unit 20 Terminal Device 30 Service Providing Device 40 Network 100 Communication Support Device (Embodiment 1)
111 CPU
112 Main memory 113 Storage device 114 Input interface 115 Display controller 116 Data reader / writer 117 Communication interface 118 Input device 119 Display device 120 Recording medium 121 Bus 150 Computer 200 Communication support device (Embodiment 2)
300 Communication support device (Embodiment 3)
400 Communication support device (Embodiment 4)
500 Communication support device (Embodiment 5)

Claims (10)

A communication content extraction unit that extracts communication content from the communication history for each pair of a sending user and a receiving user;
A topic similarity calculation unit that calculates a similarity between a recommendation target topic prepared in advance and the communication content;
A recommendation target user who is a recommendation destination of the recommendation target topic, and a user specifying unit that specifies a communication partner user of the recommendation target user,
The user specifying unit includes:
A user who extracts the pair whose communication content is higher than a threshold as the communication history, extracts each pair as a node, and uses a link from the calling user to the receiving user as an arc. Create a network between
Follow the network between users for each of the sending users, identify the recommended user from the sending users, and identify the receiving user who is in a paired relationship with the sending user identified as the recommended user as the communication partner A communication support apparatus characterized by being identified as a user. The user specifying unit includes:
Create a group of connected users in the network between users,
Follow the network between users for each of the calling users, obtain a reaching similarity obtained by comprehensively calculating the similarity, and select the calling user with the highest reaching similarity in the group as the recommendation target user The communication support apparatus according to claim 1, characterized by: The user specifying unit includes:
If there is a user who does not reach the calling user from any of the calling users for each calling user, the network between users is created again with only the non-reaching user as the node, and the recommendation target The communication support apparatus according to claim 2, wherein the user is specified again. The communication support device further includes:
For each of the sending users, the number of the recommendation target topics identified and associated as the recommendation target user is counted, and when the counted number is larger than a predetermined number, a part of the recommendation target topics The communication support apparatus according to any one of claims 1 to 3, further comprising a user re-specification unit that re-specifies the recommendation target user so that the user is recommended to other users. The user respecifying unit
5. The communication support apparatus according to claim 4, wherein when the user to be recommended is specified again, the user specified as the communication partner user by the user specifying unit is specified as the new user to be recommended. The user specifying unit includes:
With reference to topic browsing history information for identifying topics browsed by each user and topic recommendation history information for identifying topics recommended to each user, a user who has already browsed or has already recommended the recommended topic The communication support apparatus according to any one of claims 1 to 5, wherein if there exists, the inter-user network is created excluding the viewed user or the recommended user. The topic similarity calculation unit
The topic browsing history information that identifies the topic viewed by each user is referred to, and when the similarity between the recommended target topic and the communication content is calculated, the calling user browses the topic related to the recommended target topic The communication support apparatus according to any one of claims 1 to 6, wherein when there is a problem, the similarity is calculated to be high. The topic similarity calculation unit
When calculating the similarity between the recommended topic and the communication content, if the pair having the communication content as the communication history is a pair for which relationship strengthening is set in advance, the similarity is calculated. The communication support apparatus according to claim 1, wherein the communication support apparatus calculates a high value. A communication content extraction step for extracting communication content from the communication history for each pair of the sending user and the receiving user;
A topic similarity calculating step for calculating a similarity between a recommendation target topic prepared in advance and the communication content;
A pair extracting step of extracting the pair having the communication content having a similarity higher than a threshold as the communication history;
A network creation step of creating a network between users with each user as a node in the extracted pair and with a link from the calling user to the receiving user as an arc;
Follow the network between users for each of the sending users, identify the recommended user from the sending users, and identify the receiving user who is in a paired relationship with the sending user identified as the recommended user as the communication partner A user identification step for identifying as a user;
A communication support method characterized by including: On the computer,
A communication content extraction step for extracting communication content from the communication history for each pair of the sending user and the receiving user;
A topic similarity calculating step for calculating a similarity between a recommendation target topic prepared in advance and the communication content;
A pair extracting step of extracting the pair having the communication content having a similarity higher than a threshold as the communication history;
A network creation step of creating a network between users with each user as a node in the extracted pair and with a link from the calling user to the receiving user as an arc;
Follow the network between users for each of the sending users, identify the recommended user from the sending users, and identify the receiving user who is in a paired relationship with the sending user identified as the recommended user as the communication partner A user identification step for identifying as a user;
The computer-readable recording medium which has recorded the program containing the instruction | command which performs this.

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